Publication Date
| In 2026 | 0 |
| Since 2025 | 301 |
| Since 2022 (last 5 years) | 1269 |
| Since 2017 (last 10 years) | 2663 |
| Since 2007 (last 20 years) | 4938 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 466 |
| Teachers | 336 |
| Researchers | 118 |
| Administrators | 76 |
| Policymakers | 76 |
| Students | 64 |
| Parents | 25 |
| Community | 16 |
| Media Staff | 11 |
| Counselors | 6 |
| Support Staff | 3 |
| More ▼ | |
Location
| California | 164 |
| China | 139 |
| United Kingdom | 137 |
| Australia | 109 |
| Canada | 108 |
| Texas | 103 |
| United States | 93 |
| Taiwan | 92 |
| Pennsylvania | 91 |
| Germany | 80 |
| United Kingdom (England) | 75 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 39 |
| Meets WWC Standards with or without Reservations | 60 |
| Does not meet standards | 26 |
Xhane, Entela K. – ProQuest LLC, 2022
The purpose of this quantitative ex post facto research study is to determine if there is a difference in students' pre-calculus knowledge and mathematical skills achievement based on pre-calculus instructional conditions and gender at a community college in the Mid-Atlantic region of the United States. Three research questions were used to…
Descriptors: Interaction, Intelligent Tutoring Systems, Gender Differences, Mathematics Achievement
Carlon, May Kristine Jonson; Cross, Jeffrey S. – Open Education Studies, 2022
Adaptive learning is provided in intelligent tutoring systems (ITS) to enable learners with varying abilities to meet their expected learning outcomes. Despite the personalized learning afforded by ITSes using adaptive learning, learners are still susceptible to shallow learning. Introducing metacognitive tutoring to teach learners how to be aware…
Descriptors: Intelligent Tutoring Systems, Metacognition, Cognitive Processes, Difficulty Level
Latisha Jones-Russell – ProQuest LLC, 2022
The problem in the 21st Century Community Learning Center (CCLC) afterschool program was that 40% of the students enrolled performed below the proficiency level in reading on the state assessed exams during the past 3 school years. This was of great concern for the teachers and administrators in this Title I middle school, Grades 6-8. This…
Descriptors: Teacher Attitudes, Parent Attitudes, Middle School Students, After School Programs
Jessica V. Forrester – ProQuest LLC, 2022
There is an increasing demand for change in mathematics education to combat deficit-based assumptions towards students of color and promote culturally affirming learning environments (Celedon-Pattichis et al., 2018). Equity-centered mathematics research provides a powerful opportunity to resist these deficit constructions towards marginalized…
Descriptors: Mathematics Education, Equal Education, Culturally Relevant Education, Cultural Capital
Rebecca Ozelie; Saba Elothman; Bridget Hahn – Journal of Occupational Therapy Education, 2025
Student success in anatomy courses is critical for entry-level occupational therapy doctorate (OTD) programs, yet many students struggle to master this foundational subject. Research on effective academic interventions to support anatomy learning in OTD programs is limited, leaving a gap in understanding the impact of supplemental resources. This…
Descriptors: Anatomy, Occupational Therapy, Allied Health Occupations Education, Doctoral Students
Achala Gupta – British Educational Research Journal, 2025
Studies have shown how family (typically parents) and formal institutions (specifically schools and universities) shape individuals' dispositions--or "habitus." However, other sites of academic socialisation, such as tutoring centres and coaching institutions (collectively forming a shadow education system), are seldom scrutinised for…
Descriptors: Tutoring, Private Education, Foreign Countries, Elementary Secondary Education
Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
Selena Cho; Andrea Lopez Salazar; Julia Raufman – Center for the Analysis of Postsecondary Readiness, 2025
Research shows that corequisite courses are more effective at supporting student success in gateway English and math courses than prerequisite developmental courses. As the field increasingly shifts to adopt and expand corequisites, questions remain about how to design and structure corequisites to best support student success. In the fall of…
Descriptors: Required Courses, College Students, English Instruction, Mathematics Instruction
Olaperi Okuboyejo; Sigrid Ewert; Ian Sanders – ACM Transactions on Computing Education, 2025
Regular expressions (REs) are often taught to undergraduate computer science majors in the Formal Languages and Automata (FLA) course; they are widely used to implement different software functionalities such as search mechanisms and data validation in diverse fields. Despite their importance, the difficulty of REs has been asserted many times in…
Descriptors: Automation, Feedback (Response), Error Patterns, Error Correction
Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence
Conrad Borchers; Jiayi Zhang; Hendrik Fleischer; Sascha Schanze; Vincent Aleven; Ryan S. Baker – Journal of Educational Data Mining, 2025
Think-aloud protocols are a standard method to study self-regulated learning (SRL) during learning by problem-solving. Advances in automated transcription and large language models (LLMs) have automated the transcription and labeling of SRL in these protocols, reducing manual effort. However, while effective in many emerging applications, previous…
Descriptors: Artificial Intelligence, Protocol Analysis, Learning Strategies, Classification
Megan Kuhfeld; Sarah L. Woulfin; Andrew McEachin – National Academy of Education, 2025
This report is part of a commissioned paper series that highlights the profound and ongoing effects of COVID-19 on educational opportunities and underscores the necessity of bold, systemic reforms to ensure equitable and effective learning environments. The papers examine evidence-based strategies to mitigate opportunity gaps, strengthen student…
Descriptors: COVID-19, Pandemics, Equal Education, Evidence Based Practice

Direct link
Peer reviewed
